ZeroHour
DashboardNewsCVEsExploitsIncidentsAIBriefAnalyticsEntitiesWatchlistIOCsAsk the feedSourcesFeeds & APIKiosk mode

Search: “Explainability Assistant”

407 stories

Searchkeywordsmart Sortlatesthotimportancerelevance
DomainAllCyberAIWindow24h3d7d30dAllIn the wildImportant onlyShow duplicates
CategoryAllRansomware 140Exploit / PoC 117Vulnerability 42Data breach 36Threat actor 35Malware 14Policy & legal 8AI safety & security 6AI industry 5Phishing & fraud 2Advisory 2
SeverityAllcritical 370high 22medium 8low 0info 7

DragonForce Hackers Abuse Microsoft Teams Relays to Hide Backdoor.Turn C2 Traffic

Symantec and Carbon Black found DragonForce-linked hackers using Backdoor.Turn, a Go RAT tunneling C2 through Microsoft Teams TURN relays via QUIC.

Broadcom's Symantec and Carbon Black documented Backdoor.Turn, a Go-based RAT associated with the DragonForce ransomware group, deployed at a major U.S. services firm where attackers remained on the network for one to two months. The backdoor obtains an anonymous Teams visitor token from Microsoft's Skype-backed identity services, uses a legitimate Microsoft TURN relay for connection setup, and runs a QUIC session to the attacker's C2 server, so defenders see only outbound traffic to legitimate Teams servers. Initial access is suspected to involve exploiting a SQL/MS-SQL vulnerability or an access broker, followed by a PowerShell-dropped ZIP, DLL side-loading, and BYOVD evasion using a Huawei driver; the RAT is injected into DbgView64.exe after DragonForce ransomware deployment for continued access. First publicly documented TURN abuse by the group, it leverages Praetorian's Ghost Calls technique and supports command execution, network scanning, LDAP/AD search, lateral movement, and browser credential theft.

The Hacker News · 29d agoMalwareCVE-2023-52271CVE-2025-61155CVE-2025-10551

Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability

Unit 42 details the Bad Likert Judge multi-turn jailbreak that abuses LLMs' evaluation capability, raising attack success rates over 60% across six frontier models.

Palo Alto Networks Unit 42 describes the Bad Likert Judge technique, a multi-turn jailbreak that asks a target LLM to act as a Likert-scale judge scoring the harmfulness of example responses. The highest-rated example in each scale can carry harmful content, bypassing the model's internal guardrails. Testing across six state-of-the-art text-generation LLMs showed an average attack success rate increase of more than 60% versus plain attack prompts, with tested models anonymized. The technique targets edge cases rather than typical use, and the article positions the work as guidance for defenders on potential jailbreak risks.

Palo Alto Unit 42 · Aug 17, 2026AI safety & security

China’s ‘SilkParasite’ espionage operation targeting Central Asia with AI

Bitdefender attributes the SilkParasite espionage campaign to China-linked actors using five new malware strains and AI-assisted development to target Central Asian governments.

Bitdefender researchers uncovered a nearly year-long espionage operation dubbed SilkParasite targeting government economic institutions in Central Asia and the South Caucasus. The campaign uses seven malware families, five previously undocumented, including DriveSilkRAT, which communicates through a shared Google Drive folder instead of a dedicated C2 server. The attackers gained access via malicious Microsoft Office documents delivered through spearphishing emails packaged in archives. Bitdefender found evidence of AI-generated lures and AI-assisted malware development, tied the campaign to China via infrastructure and malware overlaps, and observed 65 infections across targeted countries.

The Record · 27d agoThreat actor in the wild